MA Ning 1,2,3 , PAN Bei 1,2,3 , DENG Xiyuan 4 , WANG Xiaoman 1,2,3 , LI Dan 2 , HE Xin 2 , LIU Xiaowei 5 , MAO Changxing 6 , LIU Yijun 7 , NIU Junqiang 1,3,5 , YANG Kehu 1,2,3
  • 1. Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, P. R. China;
  • 2. Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, P. R. China;
  • 3. Key Laboratory of Evidence Based Medicine of Gansu Province, Lanzhou 730000, P. R. China;
  • 4. Department of Prenatal Diagnosis Center, Gansu Provincial Maternity and Child-care Hospital, Lanzhou 730000, P. R. China;
  • 5. The First Hospital of Lanzhou University, Lanzhou 730000, P. R. China;
  • 6. Huangfumi Hospital of Traditional Chinese Medicine, Pingliang 744499, P. R. China;
  • 7. Wuwei People’s Hospital, Wuwei 733099, P. R. China;
YANG Kehu, Email: yangkh-ebm@lzu.edu.cn
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The overlap of literature in umbrella reviews can affect the reliability and accuracy of research conclusions, leading to results with a higher risk of bias. Therefore, it becomes crucial to assess the degree of overlapping and how to handle it. In order to avoid redundant calculations and reduce the risk of bias, researchers need to quantify the degree of literature overlap and adopt corresponding processing strategies. This paper provides a detailed introduction to the calculation methods of overlapping and different strategies for handling overlapping, aiming to provide a reference and guidance for domestic scholars' understanding and application of this method.